xlm-roberta-base-finetuned-TQuad
This model is a fine-tuned version of IProject-10/xlm-roberta-base-finetuned-squad2 on tquad.0.1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2300
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3241 | 1.0 | 520 | 1.2748 |
| 0.9743 | 2.0 | 1040 | 1.2063 |
| 0.7823 | 3.0 | 1560 | 1.2300 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for erdometo/xlm-roberta-base-finetuned-TQuad
Base model
FacebookAI/xlm-roberta-base